![]() The app itself is easy to use as well, as everything is clearly labeled and tool options are easy to understand. The software product install Kami is very easy to use. The software product is very user-friendly and easy to navigate. When you choose a template, the lines automatically move down and you can start writing. The tool icons are easy to understand, with pencil, eraser, paint bucket being most basic tools. ![]() Tools are located on left panel, with addition of undo & redo buttons. It is made up of two panels, one on left for tools and layers, one on the right for the canvas. The canvas is very large, with drawing area taking up upper half of the screen. Interface of get Kami is very simple, with only option being to either start a blank canvas or open file. There is a toolbar on side of editor that contains many different tools for adding and editing elements on page. The animation editor is where you can preview & edit your animations. Project browser is where you can open up the files you have created and edited. Project editor Kami Windows is where you open up a new project design your pages and panels. There is a new project, a project browser, an animation editor. Interface is a simple, effective way to create a comic or animation. It has a variety of different templates for different things such as hand-written letters, free sketches, handwritten doodles. It is an software product for writing, sketching, drawing. Is an software application for iPad with same name. Application is a Japanese word meaning “paper”. Paint brush can be used to fill in shapes or doodles with color. Pencil is default drawing tool, which can be used to draw lines, curves, or shapes. Has two drawing tools Kami free which are pencil, paint brush. Software product has multiple features that are similar to other drawing apps on the market. Application is new collaborative drawing application Kami that is available for free. It is a free, open-source, cross-platform vector graphics editor. To learn more, see the privacy policy.Kami is a cross-platform, free and open-source vector graphics editor designed for creating comics, illustrations, animations, or any other type of graphics. Please note that Describing Words uses third party scripts (such as Google Analytics and advertisements) which use cookies. Special thanks to the contributors of the open-source mongodb which was used in this project. As you'd expect, you can click the "Sort By Usage Frequency" button to adjectives by their usage frequency for that noun. ![]() The "uniqueness" sorting is default, and thanks to my Complicated Algorithm™, it orders them by the adjectives' uniqueness to that particular noun relative to other nouns (it's actually pretty simple). You can hover over an item for a second and the frequency score should pop up. ![]() The blueness of the results represents their relative frequency. If anyone wants to do further research into this, let me know and I can give you a lot more data (for example, there are about 25000 different entries for "woman" - too many to show here). In fact, "beautiful" is possibly the most widely used adjective for women in all of the world's literature, which is quite in line with the general unidimensional representation of women in many other media forms. On an inital quick analysis it seems that authors of fiction are at least 4x more likely to describe women (as opposed to men) with beauty-related terms (regarding their weight, features and general attractiveness). ![]() Hopefully it's more than just a novelty and some people will actually find it useful for their writing and brainstorming, but one neat little thing to try is to compare two nouns which are similar, but different in some significant way - for example, gender is interesting: " woman" versus " man" and " boy" versus " girl". The parser simply looks through each book and pulls out the various descriptions of nouns. Project Gutenberg was the initial corpus, but the parser got greedier and greedier and I ended up feeding it somewhere around 100 gigabytes of text files - mostly fiction, including many contemporary works. Eventually I realised that there's a much better way of doing this: parse books! While playing around with word vectors and the " HasProperty" API of conceptnet, I had a bit of fun trying to get the adjectives which commonly describe a word. The idea for the Describing Words engine came when I was building the engine for Related Words (it's like a thesaurus, but gives you a much broader set of related words, rather than just synonyms). ![]()
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